自适应UKF应用于反辐射导弹抗静止目标雷达关机

Application of an Adaptive UKF to Antagonism Against the Stationary Radar Stopping Radiating of Anti-radiation Missile

抗目标雷达关机是反辐射导弹的技术难题,也是关键问题。针对基于目标状态估计的抗目标雷达关机方案,将自适应UKF算法应用于抗静止雷达关机措施中。利用EKF,UKF和自适应UKF算法对反辐射导弹抗关机性能进行了仿真实验。通过实验得出的结果表明,自适应UKF算法相对于其他2种滤波算法在对抗雷达关机方面具有明显的优越性。

The antagonism against the radar stopping radiating is a problem of technology to anti-radiation missiles,it＇s also a key problem.To the scheme of antagonism against the radar stopping radiating based on estimation of target＇s state,the adaptive UKF （Unscented Kalman Filter） is applied for measure of against the stationary radar stopping radiating.And then the EKF（Extended Kalman Filter）,UKF and the adaptive UKF are used in the experiment of simulation for anti-radiation missile against the switching-off.Simulation results show that in the field of against switching-off,the adaptive UKF is much better than the other two filters.